Join Expero and Neo4j in a Global Graph Day to celebrate Leonhard Euler's, the founder of graph theory, birthday.
Graph database leader, Neo4j, has recently released Neo4j 4.0 which includes many advancements and new features. This webinar will highlight some of the most high value new additions, including:
- Fabric: a new way to store and retrieve data in multiple databases, whether they are on the same Neo4j DBMS or in multiple DBMS's, using a single Cypher query. Fabric achieves a number of desirable objectives: a unified view of local and distributed data, accessible via a single client connection and user session; increased scalability for read/write operations, data volume and concurrency; predictable response time for queries executed during normal operations, a failover or other infrastructure changes; high availability and No Single Point of Failure for large data volume.
- BI Connector: extending on the Apache 2.0 licensed JDBC driver, Neo4j has announced BI Connector for connectivity to Neo4j instances (3.5 and later) without having to write Cyper queries. Business users for tools such as Tableau can now connect their dashboards with SQL queries without having to perform actual programming tasks.
- Robust Graph Algorithms: Building on the success of the algorithms incubated in the Neo4j Labs and their highly referenced O'Reilly book, Neo4j has announced their Graph Data Science Library.
Join Expero and Neo4j in a Global Graph Day to celebrate Leonhard Euler's, the founder of graph theory, birthday.
Graph database leader, Neo4j, has recently released Neo4j 4.0 which includes many advancements and new features. This webinar will highlight some of the most high value new additions, including:
- Fabric: a new way to store and retrieve data in multiple databases, whether they are on the same Neo4j DBMS or in multiple DBMS's, using a single Cypher query. Fabric achieves a number of desirable objectives: a unified view of local and distributed data, accessible via a single client connection and user session; increased scalability for read/write operations, data volume and concurrency; predictable response time for queries executed during normal operations, a failover or other infrastructure changes; high availability and No Single Point of Failure for large data volume.
- BI Connector: extending on the Apache 2.0 licensed JDBC driver, Neo4j has announced BI Connector for connectivity to Neo4j instances (3.5 and later) without having to write Cyper queries. Business users for tools such as Tableau can now connect their dashboards with SQL queries without having to perform actual programming tasks.
- Robust Graph Algorithms: Building on the success of the algorithms incubated in the Neo4j Labs and their highly referenced O'Reilly book, Neo4j has announced their Graph Data Science Library.
